lowpass

本书第一章系统讲述 MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。 全书包含 390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。(This book chapter describes the system integration MATLAB6.5 work platform, the reader will be the beginning of the basic use of MATLAB. Second, the four chapters, system, MATLAB6.1 basic data types (numeric arrays, strings, arrays, cell arrays, structure arrays), while the other extended data types (function handle, symbol data, inline functions, unit array , sparse class) are separate sections above. Since then, the book points out with nine separate chapters MATLAB6.5 of numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone applications generated, to achieve interaction of different software platforms API, M-book data, graphical environment for integration of the eight general-purpose language Function. Book with a special chapter in layman s language to clarify the hierarchical SIMULINK modeling, simulation, and the MATLAB interactive features. The book contains more than 390)

blob detection, measurement and filtering in image segmentation

Algorithm of Learning Implicit Transfer for Person Re-identification (Learning Implicit Transfer for Person Re-identification)

Ham for dnoosing excelent resuls will be obtained from this

cross talk canceller matlab

这是一个对解偏微分方程进行求解的matlab程序(BVP5C Solve boundary value problems for ODEs by collocation.)

Methods to model communication channel

使用MATLAB实现的基于多类别的KNN算法，简称为MLKNN(Using MATLAB to achieve KNN algorithm based on multi-category, referred to as MLKNN)

这是一个小说类型的显式过滤器形象——引导过滤器。来自当地一个线性模型,指导过滤器 生成过滤输出通过考虑的内容指导 图像,可以输入图像本身或另一个不同的形象。(This is a novel type of explicit image filter- guided filter. Derived a local linear model, the guided filter generates the filtering output by considering the content of a guidance image, which can be the input image itself or another different image.)

径向基（RBF）神经网络进行剩余寿命预测，训练输入为30*735的矩阵，输出为1*735(Radial Basis Function (RBF) neural network to predict the remaining life, the training input matrix of 30* 735, 735* 1 output)